Manulife Operations Supervisor, Hybrid Philippines
Manulife
Lead insurance operations at Manulife, overseeing service levels, workflows, audits, and team performance. This hybrid position supports teams in Quezon City or Lapu-Lapu City.
Ochish
RevoData — faqat Databricks platformasiga ixtisoslashgan, Niderlandiyada joylashgan ma’lumotlar va sun’iy intellekt bo‘yicha konsalting kompaniyasi. Uning konsalting jamoasi boshqariladigan Databricks xizmatlari, arxitektura tahlillari, treninglar, sun’iy intellekt muhandisligi, geofazoviy konsalting, ma’lumotlarni ko‘chirish va jarayonlarni optimallashtirish orqali korxonalarga modulli, ishlab chiqarishda foydalanishga tayyor ma’lumotlar va sun’iy intellekt platformalarini loyihalash hamda boshqarishda yordam beradi. Databricks Gold Partner maqomi, Databricks Champions mutaxassislari va to‘liq Databricks sertifikatiga ega jamoasi bilan RevoData murakkab korporativ ma’lumotlar loyihalarida platforma tajribasini amaliy joriy etish ko‘magi bilan birlashtiradi.
Forward Deployed AI Engineer
Build production generative AI solutions with RevoData, a Databricks-focused data and AI consultancy. Work alongside clients to shape scalable platforms and guide projects through delivery.
Tavsif
- Work with clients to design AI solutions for real business needs
- Turn AI capabilities into applications for customers and stakeholders
- Advance AI solutions from prototypes to reliable production systems
- Evaluate AI systems and improve their measurable performance
- Create RAG architectures, agent workflows and fine-tuned generative AI applications
- Organize and coordinate AI applications with generative AI frameworks
- Set evaluation baselines and metrics for prompts, retrieval, models and parameters
- Manage experiment tracking, model versions, observability and deployment workflows
- Build automated monitoring, evaluation and CI/CD pipelines for machine learning and large language models
- Design scalable pipelines for training and inference
- Advise clients, turn business challenges into technical roadmaps, and lead projects from scoping to delivery
- Explain architecture choices to CTOs and pair with engineers to debug pipelines
- Use Databricks, PySpark, SQL, Delta Lake, Unity Catalog, MLflow and Mosaic AI features
Talablar
- Experience building AI systems across their lifecycle, from experimentation through deployment and monitoring
- Experience delivering production generative AI applications, including RAG architectures, agent workflows and fine-tuning
- Experience with platforms such as OpenAI, Anthropic, Azure AI or similar services
- Experience with generative AI frameworks such as LangChain, LangGraph, Pydantic AI, Hugging Face or DSPy
- An evaluation-led approach: set baselines, define meaningful metrics and measure improvements
- Understanding of LLMOps and MLOps, including experiment tracking, model versioning, observability and deployment
- Experience building automated monitoring, evaluation and CI/CD pipelines for traditional machine learning and LLMs
- Experience designing scalable training and inference data pipelines for production
- Strong Python skills with data and machine learning libraries, and the ability to write clean, testable, well-structured code
- Experience deploying or working with AI solutions on AWS, Azure or Google Cloud Platform
- A client-facing consulting mindset, with the ability to turn business challenges into technical roadmaps and lead projects from scoping to delivery
- Databricks experience or certification is an advantage
- PyTorch or TensorFlow experience is an advantage
- Experience with production LLMOps tools for evaluation, monitoring and drift detection is an advantage
Imtiyozlar
- Employment arranged through a third-party employer-of-record or payroll provider in accordance with Hungarian employment requirements
- Access to Databricks learning resources, certifications and partner academies
- Regular internal knowledge-sharing sessions and workshops
- Hands-on opportunities with modern data and AI technologies, including Databricks and the broader data engineering ecosystem
- Flexible, collaborative work environment with remote and hybrid options
- Collaboration with experienced data and AI professionals across Europe
- Opportunities to grow technical expertise, consulting skills and technical leadership
- Regular team activities and opportunities to connect with colleagues across RevoData
- Sustainable working practices and a focus on wellbeing
- For candidates new to Databricks, a seven-month intensive course combining certification, client project work and internal knowledge sharing, with transition to a permanent contract upon agreed milestones
O‘xshash ish o‘rinlari
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Cross RiverLead and coach engineers building fintech services and infrastructure for payments, cards, lending, and crypto. This hybrid Jerusalem role focuses on cloud-native systems and engineering delivery.
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Senior AI Researcher, Foundation Model Pre-Training — Aleph Alpha, Heidelberg
Aleph Alpha
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Mobileye
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Vashington19 $ – 20 $ / soat
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S&P Global
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Promote pharmaceutical products to healthcare professionals across Egypt through medical visits and relationship building. Meet ethical sales targets while sharing product information and market feedback.
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SedricIsroilGibridTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSun’iy intellekt muhandisiLead Sedric’s AI reference architecture for agentic compliance systems. Build scalable LLM, retrieval, governance, and evaluation capabilities for financial services.
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Ochish